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Recent literature emphasizes the application of lean manufacturing practices to food processing industries in order to improve operational efficiency and productivity. Only a very limited number of studies have focused on the implementation of lean manufacturing practices within small and medium-sized enterprises (SMEs) operating in the food sector. The majority of these studies used the case study method and concentrated on individual lean manufacturing techniques geared towards resolving efficiency issues. This paper aims to analyze the status of the lean manufacturing practices and their benefits and barriers among European food processing SMEs.

A structured questionnaire was developed to collect data. A total of 35 SMEs' representatives, mostly CEOs and operations managers, participated in the survey. The study investigated the role of two control variables in lean implementation: size of the company and country of origin.

The findings show that lean manufacturing practice deployment in food processing SMEs is generally low and still evolving. However, some lean manufacturing practices are more prevalent than others; e.g. flow, pull and statistical process control are not widely used by the food processing SMEs, whereas total productive maintenance, employee involvement, and customer association are more widespread. The key barriers encountered by food SMEs in the implementation of lean manufacturing practices result from the special characteristics of the food sector, such as highly perishable products, complicated processing, extremely variable raw materials, recipes and unpredictable demand. In addition, lack of knowledge and resources makes it difficult for food processing SMEs to embark on the lean journey.

The gap in the literature regarding the application of lean manufacturing in the food sector is identified and addressed in this study. The originality of this paper lies in analyzing the current status of the use of lean manufacturing practices among food SMEs in Europe and identifying potential barriers.

This study examines the performance of India's food processing sector by estimating its output growth, technical efficiency (TE) and input-driven growth (IDG)

This study used panel data from six food processing manufacturing industries for the period 2000–01 to 2017–18. Technical efficiency and input-driven growth was measured using the parametric half-normal stochastic frontier production function.

The findings of this study showed that the estimated average technical efficiency is 86.6%, which specifies that the Indian food processing sector is technically inefficient. In addition, the output growth rate is 5.5%, driven by high doses of inputs (5.7%), whereas there is no indication of constant returns to scale. However, the food processing sector has experienced more input-driven expansion than either technological or efficiency changes.

This study is limited to India's organized manufacturing food processing sector; the aggregate macro data at a three-digit level based on the national industrial classification (NIC) was used. This study provides robust estimates for industrialists and processors, as well as concrete policy formulations on how overdoses of inputs may lead to high exploitation of resources, whereas outputs can be augmented by implementing upgraded and new technologies.

Previous research has estimated the total factor productivity and technical efficiency only in order to analyze the food sector's performance, but none of the studies have evaluated the share of inputs in growth performance and efficiency. Therefore, this study contributes by measuring growth performance and the share of inputs in the growth performance of India's food processing sector.

This study aims to investigate the impact of green shared vision (GSV) and green knowledge sharing (GKS) on eco-innovation types and further investigates the impact of these types on sustainable competitive advantage (SCA) and sustainable business performance (SBP) within the food manufacturing and food processing small- and medium-sized enterprises (SMEs) of a developing country.

Partial least square structural equation modeling technique was used to test the hypotheses. Simple random sampling was used, and data were collected from 312 owners/managers of food manufacturing and processing SMEs.

The results reveal a significant positive relationship between GSV, GKS and eco-innovation types. Furthermore, it was revealed that all three types of eco-innovation are significantly related to SCA and SBP.

The results of this research will assist food manufacturing and food processing SMEs in reducing their eco-footprint to gain SCA and SBP. Furthermore, policymakers and governing bodies may implement strong regulations to curtail eco-pollution.

To the best of the authors' knowledge, this is the first study that incorporates the concept of eco-innovation in food processing and food manufacturing SMEs of a developing country in the light of the natural resource orchestration theory.

Global recession is a serious issue to both the developed and developing economies. Reports published by the Ministry of Statistics and Programme Implementation (2019–20) have revealed that the growth of gross domestic products (GDPs) has shrunk significantly in the last few quarters. Due to such recession productions by many, manufacturing industries have reduced significantly, and a large number of people have lost their work, and scope of new job creations has also decreased. Food sector has also been affected by global recession (Agbedeyi & Adigwe, 2018). Food Processing Industry (FPI) is India's one of the most sunshine manufacturing industries and ranks fifth among the Indian industries in terms of production, consumption, and exports. The country ranks second in global ranking in terms of producing food products next to China. Despite the global recession, the FPIs helped the Indian economy to maintain the growth of the GDP and have created new job opportunities. Around 70 lakh persons are employed in both registered and unregistered food processing units in India. The value of food exported in the year 2018–19 was US $35.30 billion which was 10.69% of India's total export (i.e. US$330.67 billion) (MoFPI report, 2018–19). In this backdrop, the present chapter will try to find out the role of FPI in the Indian economy and will also highlight the prospects of this industry in the coming years.

In this chapter we examine how the small scale agro-industries located in Southern Brazil, specifically in the North of the State of Rio Grande do Sul, started to deal with changes in their production processes, how they created and adapted technologies, and devised new products. Among the main outcomes of the study we highlight the novelties observed during the field research, especially regarding the family situation and the agro-manufacturing activities, in which we observed (i) a relative raise in autonomy; (ii) improvement in both the income level and the quality of life of household members; (iii) creation of new nested markets and marketing channels; (iv) development of more environmentally sustainable products; (v) improvement of the value added to food products; and (vi) development of new interfaces between families and other social actors.

Reports the findings of a study conducted to explain the recent poor performances of the Australian food‐processing industry, by historically analysing the structural determinants and intensity of competition that prevailed in the early 1980s. Covers the period 1979 to 1985 in depth using a research design that incorporates information from both published sources and empirical interviews of senior marketing executives. Using the Porter framework, an accepted approach to the structural analysis of industries, demonstrates that the food industry was one of the most competitive industries in the world in the early 1980s. Attempts to analyse the resultant implications of such competitive pressures on industry performance in the 1990s.

The purpose of this research is to identify and validate a measurement model for assessing the quality management practices among small and medium-sized enterprises, specifically for the food processing industry in developing countries such as Malaysia.

A survey was initially conducted among SMEs using a questionnaire mailed to the managing director of companies selected from the SMECorp directory. A total of 207 respondents from SMEs were used for further analysis. Two steps of analysis were undertaken to validate the measurement model of critical success factors: principal component analysis and confirmatory analysis.

Eight critical success factors of quality management practices are proposed for assessing quality management practices among SMEs in the food processing industry in Malaysia. A measurement model was then developed. PCA with Varimax rotation revealed 13 components, eight of which were retained for further analysis. First- and second-order CFAs identified the CSF measurement model along with the goodness-of-fit index. Thus, the findings also reveal the status of quality management practices among food processing SMEs in Malaysia.

This paper is to evaluate only the CSFs; therefore, further work is needed to evaluate the relationship between CSFs and organisational performance of SMEs in the food processing industry in Malaysia.

There are various papers regarding the assessment of quality management, especially on TQM practices in various industries. However, few assessments of the critical success factors of quality management practices of SMEs in the food processing industry, especially in developing countries like Malaysia, have been found to date. The findings of this paper will help the industry to identify its current quality management practice to focus on improving its performance.

Improved production with quality, safety, and security is the biggest challenge of the food industry. Modern technologies, including robotics and automation systems, can help to cope with such issues. This chapter gives a brief view of robotics and automation for the sustainable food industry along with packaging, warehousing, distribution, marketing, and consumer services. It describes the recently implemented solutions of robotic automation in different supply chain operations and various food commodities. The benefits of robotic and automation technology for perishable and semi-perishable items have also been covered. The present research may assist the food industry professionals, supply chain managers, and academicians in implementing automation and robotics in the food industry.

Statistical process control (SPC) is a common feature of quality control in most high volume manufacturing processes. In the food industry, while there is no explicit compulsion for organisations to make use of SPC techniques, their usage can accrue the same benefits as in other industry sectors. Discusses the potential for application of SPC within the industry, and presents the results of a nationwide survey of 200 food processing companies, indicating relatively low levels of SPC usage. Three case studies are presented, which outline three typical approaches to SPC in the food sector, e.g. those organisations which make effective use of SPC in some form; those that do not perceive a need for it; and those that recognise its potential, but are unable to implement it effectively, owing to a lack of in‐house expertise or advisory literature. Suggests ways in which the use of SPC might be promoted and encouraged within the industry.

Safety precautions in the use of raw materials, in manufacturing and processing, marketing and enforcement of food and drug law on purity and quality may appear nowadays to be largely a matter of routine, with manufacturers as much involved and interested in maintaining a more or less settled equilibrium as the enforcement agencies. Occasionally the peace is shattered, eg, a search and recovery operation of canned goods of doubtful bacterial purity or containing excess metal contamination, seen very much as an isolated incident; or the recent very large enforcement enterprise in the marketing of horseflesh (and other substitutions) for beef. The nationwide sale and distribution of meat on such a vast scale, only possible by reason of marketing methods — frozen blocks of boneless meat, which even after thawing out is not easily distinguishable from the genuine even in the eye of the expert; this is in effect only a fraud always around in the long ago years built up into a massive illicit trade.